• DocumentCode
    2026258
  • Title

    Designing a fuzzy expert system to predict the concrete mix design

  • Author

    Neshat, Mehdi ; Adeli, Ali

  • Author_Institution
    Dept. of Comput. Sci., Islamic Azad Univ., Shirvan, Iran
  • fYear
    2011
  • fDate
    19-21 Sept. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The aim of this study is to design a Fuzzy Expert System to determine the concrete mix design. In the civil engineering, the determination of concrete mix design is so difficult and usually results in imprecision. Fuzzy logic is a way to represent a sort of uncertainty which is understandable for human. So, we can use the fuzzy logic to easily determine the concrete mix designs in a descriptive form. The input fields of system are Slump, Maximum Size of Aggregate (Dmax), Concrete Compressive Strength (CCS) and Fineness Modulus (FM). The output fields are quantities of water, Cement, Fine Aggregate (F.A) and Course Aggregate (C.A). The experimental results show that the average error of predicted compressive strength for FIS is 6.43%, the minimum error of which is 4.73%.
  • Keywords
    aggregates (materials); civil engineering computing; compressive strength; concrete; expert systems; fuzzy systems; cement; civil engineering; concrete compressive strength; concrete mix design; course aggregate; fine aggregate; fineness modulus; fuzzy expert system; fuzzy logic; maximum aggregate size; predicted compressive strength; slump; Aggregates; Concrete; Expert systems; Frequency modulation; Fuzzy logic; Fuzzy sets; Humans; concert mix design; expert system; fuzzy inference system; fuzzy logic; prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Measurement Systems and Applications (CIMSA), 2011 IEEE International Conference on
  • Conference_Location
    Ottawa, ON, Canada
  • ISSN
    2159-1547
  • Print_ISBN
    978-1-61284-924-9
  • Type

    conf

  • DOI
    10.1109/CIMSA.2011.6059910
  • Filename
    6059910